
================================================================================
             RDC Random Parameter Logit Model - Parameter Estimates

   iteration:  10  
   algorithm: BFGS         step method: STEPBT 
   function:  0.43528      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1            -0.1198            0.0905
       2             0.0408            0.0655
       3            -0.0394            0.0727
       4             0.0305            0.0820
       5            -0.1067            0.0503
       6             0.0164            0.1016
       7            -0.0168            0.0632
       8            -0.0015            0.0078
       9            -0.0104            0.2939
      10            -0.2490            0.0026
      11             0.2388            0.0002
      12             1.2576            0.0007
      13             0.1345            0.0019
      14            -0.0641            0.0105
      15             0.0792            0.0008
      16             0.0089            0.0047
      17             0.0832            0.0133
      18            -0.1519            0.0095
      19             0.0011            0.0005

================================================================================
             RDC Random Parameter Logit Model - Parameter Estimates

   iteration:  20  
   algorithm: BFGS         step method: STEPBT 
   function:  0.42992      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1            -0.1585            0.0033
       2             0.0575            0.0014
       3            -0.0477            0.0001
       4             0.0532            0.0092
       5            -0.1316            0.0047
       6             0.0336            0.0130
       7            -0.0254            0.0069
       8             0.0453            0.0012
       9            -0.0046            0.0059
      10            -0.2523            0.0000
      11             0.1336            0.0027
      12             1.1686            0.0020
      13             0.1574            0.0074
      14            -0.0073            0.0029
      15             0.1064            0.0043
      16             0.2673            0.0012
      17             0.1161            0.0119
      18            -0.1786            0.0031
      19             0.0069            0.0000

================================================================================
             RDC Random Parameter Logit Model - Parameter Estimates

   iteration:  30  
   algorithm: BFGS         step method: STEPBT 
   function:  0.42909      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1            -0.1326            0.0106
       2             0.0503            0.0004
       3            -0.0424            0.0045
       4             0.0423            0.0037
       5            -0.1187            0.0013
       6             0.0257            0.0052
       7            -0.0263            0.0042
       8             0.1043            0.0018
       9            -0.0071            0.0126
      10            -0.2519            0.0002
      11             0.0225            0.0025
      12             1.0969            0.0020
      13             0.1235            0.0007
      14             0.0178            0.0028
      15             0.0820            0.0028
      16             0.3053            0.0022
      17             0.0762            0.0021
      18            -0.1434            0.0026
      19             0.0071            0.0000

================================================================================
             RDC Random Parameter Logit Model - Parameter Estimates

   iteration:  40  
   algorithm: BFGS         step method: STEPBT 
   function:  0.42735      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1            -0.1300            0.0029
       2             0.0484            0.0018
       3            -0.0424            0.0015
       4             0.0404            0.0004
       5            -0.1119            0.0015
       6             0.0237            0.0004
       7            -0.0293            0.0029
       8             0.4857            0.0020
       9            -0.0016            0.0013
      10            -0.2313            0.0008
      11            -0.6256            0.0005
      12             0.6567            0.0007
      13             0.1183            0.0016
      14             0.0067            0.0006
      15             0.0854            0.0056
      16             0.2709            0.0000
      17             0.0727            0.0001
      18            -0.1404            0.0023
      19             0.0092            0.0002

================================================================================
             RDC Random Parameter Logit Model - Parameter Estimates

   iteration:  50  
   algorithm: BFGS         step method: STEPBT 
   function:  0.42619      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1            -0.1360            0.0088
       2             0.0461            0.0004
       3            -0.0384            0.0062
       4             0.0382            0.0088
       5            -0.1007            0.0035
       6             0.0221            0.0054
       7            -0.0194            0.0069
       8             1.6221            0.0016
       9            -0.0176            0.0365
      10             0.1247            0.0011
      11            -0.8423            0.0009
      12             0.6739            0.0000
      13             0.1181            0.0018
      14             0.0068            0.0009
      15             0.0759            0.0020
      16             0.2640            0.0003
      17             0.0725            0.0017
      18            -0.1483            0.0026
      19            -0.0822            0.0009

================================================================================
             RDC Random Parameter Logit Model - Parameter Estimates

   iteration:  60  
   algorithm: BFGS         step method: STEPBT 
   function:  0.42369      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1            -0.1377            0.0568
       2             0.0348            0.0004
       3            -0.0353            0.0194
       4             0.0336            0.0420
       5            -0.0760            0.0072
       6             0.0158            0.0141
       7            -0.0135            0.0056
       8             2.5978            0.0082
       9            -0.0192            0.1731
      10            -1.1650            0.0036
      11            -0.2896            0.0036
      12             0.4945            0.0012
      13             0.0996            0.0097
      14             0.0184            0.0065
      15             0.0826            0.0187
      16             0.2161            0.0002
      17             0.0482            0.0113
      18            -0.1130            0.0022
      19            -1.1958            0.0094

================================================================================
             RDC Random Parameter Logit Model - Parameter Estimates

   iteration:  70  
   algorithm: BFGS         step method: STEPBT 
   function:  0.41577      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1            -0.1528            0.0144
       2             0.0405            0.0137
       3            -0.0416            0.0254
       4             0.0382            0.0738
       5            -0.0523            0.0025
       6             0.0106            0.0119
       7            -0.0122            0.0126
       8             4.5290            0.0067
       9            -0.0515            0.0248
      10            -1.2084            0.0043
      11            -0.4263            0.0006
      12             0.3764            0.0007
      13             0.0978            0.0030
      14             0.0624            0.0071
      15             0.0487            0.0092
      16             0.0735            0.0018
      17            -0.0432            0.0311
      18            -0.0749            0.0080
      19            -2.3699            0.0169

================================================================================
             RDC Random Parameter Logit Model - Parameter Estimates

   iteration:  80  
   algorithm: BFGS         step method: STEPBT 
   function:  0.40927      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1            -0.1384            0.0006
       2             0.0346            0.0004
       3            -0.0384            0.0008
       4             0.0214            0.0005
       5            -0.0594            0.0001
       6             0.0139            0.0006
       7            -0.0252            0.0003
       8             2.6911            0.0001
       9            -0.0299            0.0017
      10            -0.2298            0.0001
      11            -0.5929            0.0001
      12             0.6254            0.0001
      13             0.0712            0.0004
      14             0.0237            0.0003
      15             0.0390            0.0002
      16             0.0424            0.0000
      17            -0.0118            0.0006
      18            -0.0579            0.0005
      19            -2.8154            0.0001

================================================================================
             RDC Random Parameter Logit Model - Parameter Estimates

   iteration:  90  
   algorithm: BFGS         step method: STEPBT 
   function:  0.40927      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1            -0.1379            0.0011
       2             0.0344            0.0001
       3            -0.0383            0.0000
       4             0.0212            0.0005
       5            -0.0589            0.0000
       6             0.0139            0.0003
       7            -0.0248            0.0000
       8             2.6828            0.0001
       9            -0.0298            0.0005
      10            -0.2353            0.0001
      11            -0.5724            0.0000
      12             0.6137            0.0001
      13             0.0710            0.0000
      14             0.0223            0.0004
      15             0.0389            0.0004
      16             0.0433            0.0001
      17            -0.0107            0.0001
      18            -0.0560            0.0001
      19            -2.8040            0.0001

===============================================================================
            RDC Random Parameter Logit Model - Parameter Estimates             
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   3:12 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.409266
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
QML covariance matrix

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -0.1379        0.0104  -13.222   0.0000      0.0000
P02              0.0344        0.0075    4.586   0.0000      0.0000
P03             -0.0383        0.0076   -5.068   0.0000      0.0000
P04              0.0213        0.0059    3.629   0.0003      0.0000
P05             -0.0588        0.0184   -3.200   0.0014      0.0000
P06              0.0139        0.0043    3.195   0.0014      0.0000
P07             -0.0248        0.0089   -2.781   0.0054      0.0000
P08              2.6943        0.4814    5.596   0.0000      0.0000
P09             -0.0300        0.0064   -4.688   0.0000      0.0000
P10             -0.2210        0.2287   -0.966   0.3339      0.0000
P11             -0.5622        0.2636   -2.132   0.0330      0.0000
P12              0.5950        0.2225    2.674   0.0075      0.0000
P13              0.0709        0.0151    4.705   0.0000      0.0000
P14              0.0239        0.0247    0.967   0.3335      0.0000
P15              0.0387        0.0204    1.904   0.0570      0.0000
P16              0.0417        0.0273    1.527   0.1268      0.0000
P17             -0.0109        0.0094   -1.156   0.2477      0.0000
P18             -0.0565        0.0235   -2.409   0.0160      0.0000
P19             -2.8056        0.1877  -14.947   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.205   0.216   0.016   0.150   0.021   0.170  -0.444   0.168   0.023   0.154  -0.134  -0.465  -0.276  -0.278   0.064   0.228   0.294   0.706
  -0.205   1.000  -0.091   0.142  -0.164   0.041   0.039  -0.084  -0.054  -0.033  -0.067   0.061   0.239   0.318   0.018  -0.072  -0.206  -0.277  -0.233
   0.216  -0.091   1.000   0.016   0.200  -0.007   0.073   0.050   0.086   0.069   0.092  -0.079  -0.323  -0.204  -0.143  -0.003   0.108   0.217   0.216
   0.016   0.142   0.016   1.000   0.017   0.137   0.056  -0.171  -0.015   0.092  -0.025   0.004   0.197   0.136  -0.196   0.015  -0.164  -0.159  -0.118
   0.150  -0.164   0.200   0.017   1.000   0.082   0.052   0.199  -0.009   0.030   0.083  -0.070  -0.329  -0.173  -0.224   0.024   0.137   0.094   0.149
   0.021   0.041  -0.007   0.137   0.082   1.000   0.028  -0.144  -0.029   0.022   0.037   0.018   0.093   0.080   0.027   0.077  -0.150  -0.033  -0.013
   0.170   0.039   0.073   0.056   0.052   0.028   1.000   0.081   0.012   0.049   0.072  -0.035  -0.128  -0.125  -0.196   0.085   0.081   0.125   0.233
  -0.444  -0.084   0.050  -0.171   0.199  -0.144   0.081   1.000  -0.632  -0.068  -0.319  -0.245   0.018   0.063   0.054  -0.119   0.111  -0.121  -0.318
   0.168  -0.054   0.086  -0.015  -0.009  -0.029   0.012  -0.632   1.000  -0.050  -0.095  -0.043  -0.071  -0.200  -0.017   0.106   0.048   0.095   0.160
   0.023  -0.033   0.069   0.092   0.030   0.022   0.049  -0.068  -0.050   1.000  -0.201  -0.092  -0.010   0.206  -0.278  -0.166  -0.230  -0.149  -0.008
   0.154  -0.067   0.092  -0.025   0.083   0.037   0.072  -0.319  -0.095  -0.201   1.000  -0.052  -0.097  -0.048  -0.049   0.092   0.018   0.171   0.184
  -0.134   0.061  -0.079   0.004  -0.070   0.018  -0.035  -0.245  -0.043  -0.092  -0.052   1.000   0.181  -0.018   0.176   0.110  -0.152   0.066  -0.109
  -0.465   0.239  -0.323   0.197  -0.329   0.093  -0.128   0.018  -0.071  -0.010  -0.097   0.181   1.000   0.216   0.286   0.083  -0.187  -0.143  -0.370
  -0.276   0.318  -0.204   0.136  -0.173   0.080  -0.125   0.063  -0.200   0.206  -0.048  -0.018   0.216   1.000  -0.254  -0.590  -0.490  -0.615  -0.146
  -0.278   0.018  -0.143  -0.196  -0.224   0.027  -0.196   0.054  -0.017  -0.278  -0.049   0.176   0.286  -0.254   1.000   0.207   0.163   0.395  -0.108
   0.064  -0.072  -0.003   0.015   0.024   0.077   0.085  -0.119   0.106  -0.166   0.092   0.110   0.083  -0.590   0.207   1.000   0.112   0.335  -0.048
   0.228  -0.206   0.108  -0.164   0.137  -0.150   0.081   0.111   0.048  -0.230   0.018  -0.152  -0.187  -0.490   0.163   0.112   1.000   0.428   0.112
   0.294  -0.277   0.217  -0.159   0.094  -0.033   0.125  -0.121   0.095  -0.149   0.171   0.066  -0.143  -0.615   0.395   0.335   0.428   1.000   0.277
   0.706  -0.233   0.216  -0.118   0.149  -0.013   0.233  -0.318   0.160  -0.008   0.184  -0.109  -0.370  -0.146  -0.108  -0.048   0.112   0.277   1.000

Number of iterations    96
Minutes to convergence    12.47412
      -3103.8742 
